Senior AI/ML Architect (Generative AI)

Description

Design enterprise-grade Data and AI solutions for sales, marketing, product research, and other NACG business use cases. Translate business requirements into Data, AI, and ML technical requirements and ensure the resulting solution aligns with long-term production standards and enterprise architecture guidelines.

Key designs include AI/ML pipelines, agent-based/agentic workflows, LLM-powered applications (prompt engineering and structured outputs), and RAG systems (vector search, embeddings, indexing, and retrieval pipelines).

Responsibilities

• Review functional documents and translate business requirements into Data, AI, and ML technical requirements.
• Ensure solutions align with long-term production standards and enterprise architecture guidelines.
• Coordinate with cross-functional teams and business stakeholders on feature development, prioritization, and delivery.
• Design and document AI/ML pipelines for data ingestion and integration with orchestration APIs and backend systems.
• Design and document agent-based / agentic AI workflows and automation systems.
• Design and document LLM-powered applications, including prompt engineering and structured outputs.
• Design and document RAG solutions, including vector search, embeddings, indexing, and retrieval pipelines.

Requirements

• Experience designing enterprise-grade Data and AI solutions.
• Ability to translate functional/business documents into Data, AI, and ML technical requirements.
• Knowledge of long-term production standards and enterprise architecture guidelines.
• Experience coordinating with cross-functional teams and business stakeholders.
• Ability to design and document AI/ML pipelines, agentic workflows, LLM applications, and RAG solutions.